X-CAL: Explicit Calibration for Survival Analysis

Xintian Han
Xintian Han
Mark Goldstein
Mark Goldstein
Aahlad Manas Puli
Aahlad Manas Puli

NIPS 2020, 2020.

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We report the categorical model with and without cumulative distribution function interpolation and the log-normal trained with S-continuous ranked probability score

Abstract:

Survival analysis models the distribution of time until an event of interest, such as discharge from the hospital or admission to the ICU. When a model’s predicted number of events within any time interval is similar to the observed number, it is called well-calibrated. A survival model’s calibration can be measured using, for instance, d...More

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